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Evolutionary Learning in Strategy-Project Systems

Evolutionary Learning in Strategy-Project Systems PDF Author: Antonio Calabrese
Publisher: Project Management Institute
ISBN: 1628254858
Category : Business & Economics
Languages : en
Pages : 232

Book Description
WHAT DOES A SUCCESSFUL KNOWLEDGE MANAGEMENT PRACTITIONER DO? Evolutionary Learning in Strategy-Project Systems explores the gap between the theory and practice of knowledge management in organizations and analyzes how learning happens and how knowledge is created. The authors take a practitioner-driven approach, one that unites organizational strategy with the learning of organizational lessons—the kind of knowledge management that enhances project performance and ultimately business success. Through a survey of the literature and an analysis of original case-study research, Evolutionary Learning in Strategy-Project Systems develops a model of learning capability that proceeds exactly as its title implies, not as a line, but as a cycle—from codifying individual knowledge and putting it into practice within a context that values social relationships and networks. The conclusions offered in this book build on the rethinking of project management literature in today's world—creating a strategy-project learning model that not only improves current knowledge capabilities, but also develops new ones.

Evolutionary Learning in Strategy-Project Systems

Evolutionary Learning in Strategy-Project Systems PDF Author: Antonio Calabrese
Publisher: Project Management Institute
ISBN: 1628254858
Category : Business & Economics
Languages : en
Pages : 232

Book Description
WHAT DOES A SUCCESSFUL KNOWLEDGE MANAGEMENT PRACTITIONER DO? Evolutionary Learning in Strategy-Project Systems explores the gap between the theory and practice of knowledge management in organizations and analyzes how learning happens and how knowledge is created. The authors take a practitioner-driven approach, one that unites organizational strategy with the learning of organizational lessons—the kind of knowledge management that enhances project performance and ultimately business success. Through a survey of the literature and an analysis of original case-study research, Evolutionary Learning in Strategy-Project Systems develops a model of learning capability that proceeds exactly as its title implies, not as a line, but as a cycle—from codifying individual knowledge and putting it into practice within a context that values social relationships and networks. The conclusions offered in this book build on the rethinking of project management literature in today's world—creating a strategy-project learning model that not only improves current knowledge capabilities, but also develops new ones.

Evolutionary Learning in Strategy-project Systems

Evolutionary Learning in Strategy-project Systems PDF Author: Paul D. Gardiner
Publisher:
ISBN: 9781523117765
Category : Knowledge management
Languages : en
Pages : 277

Book Description
What does a successful knowledge management practitioner do? Evolutionary Learning in Strategy-Project Systems explores the gap between the theory and practice of knowledge management in organizations and analyzes how learning happens and how knowledge is created. The authors take a practitioner-driven approach, one that unites organizational strategy with the learning of organizational lessons -- the kind of knowledge management that enhances project performance and ultimately business success. Through a survey of the literature and an analysis of original case-study research, Evolutionary Learning in Strategy-Project Systems develops a model of learning capability that proceeds exactly as its title implies, not as a line, but as a cycle -- from codifying individual knowledge and putting it into practice within a context that values social relationships and networks. The conclusions offered in this book build on the rethinking of project management literature in today's world -- creating a strategy-project learning model that not only improves current knowledge capabilities, but also develops new ones

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics PDF Author: Elena Marchiori
Publisher: Springer Science & Business Media
ISBN: 3540787569
Category : Computers
Languages : en
Pages : 222

Book Description
This book constitutes the refereed proceedings of the 6th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2008, held in Naples, Italy, in March 2008 colocated with the Evo* 2008 events. The 18 revised full papers were carefully reviewed and selected from 63 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.

Signals

Signals PDF Author: Brian Skyrms
Publisher: Oxford University Press
ISBN: 0199580820
Category : Philosophy
Languages : en
Pages : 208

Book Description
Brian Skyrms offers a fascinating demonstration of how fundamental signals are to our world. He uses various scientific tools to investigate how meaning and communication develop. Signals operate in networks of senders and receivers at all levels of life, transmitting and processing information. That is how humans and animals think and interact.

Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling

Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling PDF Author: Kyle Robert Harrison
Publisher: Springer Nature
ISBN: 3030883159
Category : Technology & Engineering
Languages : en
Pages : 218

Book Description
This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domains, particularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of available projects subject to various resource and operational constraints. In the simplest scenario, the primary objective for an organization is to maximize the value added through funding and implementing a portfolio of projects, subject to the available budget. However, there are other major difficulties that are often associated with this problem such as qualitative project benefits, multiple conflicting objectives, complex project interdependencies, workforce and manufacturing constraints, and deep uncertainty regarding project costs, benefits, and completion times. It is well known that the PPSSP is an NP-hard problem and, thus, there is no known polynomial-time algorithm for this problem. Despite the complexity associated with solving the PPSSP, many traditional approaches to this problem make use of exact solvers. While exact solvers provide definitive optimal solutions, they quickly become prohibitively expensive in terms of computation time when the problem size is increased. In contrast, evolutionary and memetic computing afford the capability for autonomous heuristic approaches and expert knowledge to be combined and thereby provide an efficient means for high-quality approximation solutions to be attained. As such, these approaches can provide near real-time decision support information for portfolio design that can be used to augment and improve existing human-centric strategic decision-making processes. This edited book provides the reader with a broad overview of the PPSSP, its associated challenges, and approaches to addressing the problem using evolutionary and memetic computing.

The Oxford Handbook of Project Management

The Oxford Handbook of Project Management PDF Author: Peter W. G. Morris
Publisher: OUP Oxford
ISBN: 0191629375
Category : Business & Economics
Languages : en
Pages : 576

Book Description
The Oxford Handbook of Project Management presents and discusses leading ideas in the management of projects. Positioning project management as a domain much broader and more strategic than simply 'execution management', this Handbook draws on the insights of over 40 scholars to chart the development of the subject over the last 50 years or more as an area of increasing practical and academic interest. It suggests we could be entering an emerging 'third wave' of analysis and interpretation following its early technical and operational beginnings and the subsequent shift to a focus on projects and their management. Topics dealt with include: the historical evolution of the subject; its theoretical base; professionalism; business and societal context; strategy; organization; governance; innovation; overruns; risk; information management; procurement; relationships and trust; knowledge management; practice and teams. This handbook is of particular relevance to those interested in the research issues underlying project management.

Strategic Management: Competitiveness and Globalisation

Strategic Management: Competitiveness and Globalisation PDF Author: Dallas Hanson
Publisher: Cengage AU
ISBN: 0170373150
Category : Business & Economics
Languages : en
Pages : 608

Book Description
With an emphasis on global advantage, the text offers a comprehensive examination of regional and international issues to provide a complete, accurate and up-to-date explanation of the strategic management process. New coverage on environmental concerns and emerging technologies as well as examples and cases from Australia, New Zealand and Asia-Pacific serve to engage students while updated international content demonstrates how strategic management is used in the global economy. The text takes a 'resource-based' approach, which requires the examining of a firm's unique bundling of its internal resources. This text is appropriate for upper-level undergrad, usually third year; post grad in Masters courses.

Physical Anti-Collision in RFID Systems

Physical Anti-Collision in RFID Systems PDF Author: Xiaolei Yu
Publisher: Springer Nature
ISBN: 9811608350
Category : Science
Languages : en
Pages : 237

Book Description
This book highlights the innovative applications of electromagnetics, optics, thermodynamics theories in creating methods for physical-layer collision prevention- "physical anti-collision" in radio frequency identification (RFID) systems. Using engineering mathematical methods as the core of detection and control algorithm design, it proposes semi-physical verification and detection techniques to the dynamic performance testing in RFID systems. The book also introduces the methods to build semi-physical hardware platforms using photoelectric sensing technology. The book provides valuable ideas to the applications of Internet of Things (IOT) systems in smart logistics, car networking, food traceability, anti-counterfeiting and other livelihood fields. It is worth reading for all researchers in IOT and optoelectronic engineering related industries.

The Evolution of a Manufacturing System at Toyota

The Evolution of a Manufacturing System at Toyota PDF Author: Takahiro Fujimoto
Publisher: Oxford University Press
ISBN: 9780195352634
Category : Business & Economics
Languages : en
Pages : 394

Book Description
What is the true source of a firm's long-term competitive advantage in manufacturing? Through original field studies, historical research, and statistical analyses, this book shows how Toyota Motor Corporation, one of the world's largest automobile companies, built distinctive capabilities in production, product development, and supplier management. Fujimoto asserts that it is Toyota's evolutionary learning capability that gives the company its advantage and demonstrates how this learning is put to use in daily work.

Strategy and Innovation as Evolutionary Learning Between Capabilities and Routines

Strategy and Innovation as Evolutionary Learning Between Capabilities and Routines PDF Author: Carl Henning Reschke
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
Strategy and innovation involves interpretation and learning to develop and adapt an organisation's actions and reactions to 'environmental' challenges. This involves dealing with complex, interrelated structures in social and material spheres, which are the historically grown outcomes of the systematization of past learning in hierarchically organised modules. This paper draws together research and perspectives to find a common micro-level basis for learning in strategy and innovation as systematization of information in hierarchically organised, modular systems. Conceptually, it is based upon a 'epistemological-cognitive' interpretation of evolution as learning process that accumulates information and transforms it into 'knowledge' via codification and structural organisation of this knowledge. To do so, we refer systemic evolutionary theory and develop a micro-level perspective for social systems on learning in actors and develop tentative links on how the processes may be linked to the constructs of organisational capabilities and routines.